Jul 5, 2017 · First, we propose a novel mechanism to augment the conventional utility of differential privacy by fusing two Laplace or geometric distributions ...
A novel mechanism to augment the conventional utility of differential privacy by fusing two Laplace or geometric distributions together is proposed, ...
The empirical results show an increase in all utility measures considered, while maintaining privacy, for the piecewise mixture mechanisms compared to standard ...
Abstract. Differential privacy is a mathematical technique that pro- vides strong theoretical privacy guarantees by ensuring the statistical.
Differential privacy is a mathematical technique that provides strong theoretical privacy guarantees by ensuring the statistical indistinguishability of ...
First, we propose a novel mechanism to augment the conventional utility of differential privacy by fusing two Laplace or geometric distributions together. We ...
Apr 1, 2020 · Abstract. In the past decade, differential privacy has seen remark- able success as a rigorous and practical formalization of data privacy.
Oct 8, 2020 · In this paper, we present a comprehensive survey of LDP. We first give an overview on the fundamental knowledge of LDP and its frameworks.
Abstract. The U.S. Census Bureau recently released data on earnings percentiles of grad- uates from post-secondary institutions. This paper describes and ...
Missing: Flexible Piecewise
Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent ... Tuning-free Estimation and Inference of Cumulative Distribution ...